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hot_img SemiAnalysis: SpaceX may complete a 10GW data center by 2027, with expected inference revenue reaching $300 billion

Research institution SemiAnalysis released an analysis stating that SpaceX is expected to build approximately 10GW of AI data center capacity by the end of 2027. If 50% of this is used for inference services, with annual revenue exceeding $10 billion per GW, the annualized revenue could reach $300 billion. SpaceX CEO Elon Musk stated in the first earnings report that a "conservative estimate" suggests an additional 6-8GW will be added in 2027, with the actual figure possibly exceeding 10GW.SemiAnalysis's inference simulator shows that when running on the GB300 cluster at current startup cloud prices (about $3/GPU hour), leading model companies like OpenAI and Anthropic could generate annual inference revenue exceeding $10 billion per GW, with annual costs around $12 billion. Microsoft, with full access to OpenAI models and without bearing training costs, can also capture revenue of the same scale. The analysis points out that Microsoft has signed contracts for 10GW of data centers (total value exceeding $300 billion) since 2026, with a 90-day cancellation clause, significantly reducing signing risks.Regarding SpaceX's construction progress, SemiAnalysis believes Musk will significantly shorten the construction cycle by using onsite gas power generation, bypassing large power transformers, parallel construction, and shortening the debugging process. The Southaven plant in Tennessee expanded from 27 turbines (approximately 495MW) in February to 69 turbines (1.7GW) in July, and the "MiniHard" project can be completed in about 5 months with 450-500MW. However, the 10GW target still faces multiple challenges such as land approvals, gas supply, and equipment delivery. This analysis is based on model simulations, and actual implementation still carries uncertainties.

Analysis: Bitcoin's volatility has dropped to a year-to-date low, but the options market is wary of the risk of a pullback

Bitcoin's recent volatility has nearly disappeared, but market risks have not been alleviated. Data shows that there has been no outflow of funds from the spot Bitcoin ETF, with a cumulative net inflow of approximately $754 million. However, the price of Bitcoin remains around $64,700, while the options market is focused on downside protection near $62,000 and $63,000.Market signals are showing divergence: on one hand, demand for spot ETFs is rebounding; on the other hand, derivatives traders are positioning themselves for a potential pullback, especially on the eve of the release of the latest U.S. employment data. However, from the overall position structure, the market still leans bullish. Bitcoin call options account for about 60.7% of total open contracts, indicating that investors' long-term expectations remain positive, although recent trading has been more concentrated on short-term risk hedging. Meanwhile, the cost of volatility protection is at a low level. The DVOL index from Deribit, which reflects the expected volatility of Bitcoin over the next 30 days, is currently around 35, a significant drop from the high of 90 earlier this year, indicating that the market believes the likelihood of significant volatility in the short term is limited.However, U.S. macro data could disrupt this balance. The market expects that non-farm payrolls in the U.S. will increase by about 97,500 in July, up from 57,000 in June, with the unemployment rate expected to remain at 4.2%. If the employment data is stronger than expected, it could push U.S. Treasury yields higher and strengthen expectations for Federal Reserve interest rate hikes; if the data is weak, it could lower yields but also exacerbate concerns about slowing economic growth. Currently, the Bitcoin market shows a pattern of "ETF funds supporting spot, options market guarding against declines," and potential risks in a low-volatility environment still need to be monitored. In a market with low participation and insufficient liquidity, even small changes in supply or demand could lead to significant price fluctuations.

hot_img SemiAnalysis: Gemini has exited the frontier competition, and GCP is accelerating the sale of TPUs to third parties for profit

The research organization SemiAnalysis released an analysis indicating that Google DeepMind is no longer among the leading AI laboratories. A week prior, DeepMind co-founder Demis Hassabis stepped back from daily operations, and key members such as Google Chief Scientist Jeff Dean and Gemini co-lead Oriol Vinyals left to establish a new lab called Discovery Loop. The analysis suggests that the long-term struggle within Google over computing power allocation between Gemini and GCP has concluded with GCP emerging victorious.SemiAnalysis stated that Gemini 3.5 Pro has been canceled, and Gemini 3.6 Flash's performance is inferior to that of leading Chinese open-source models and Grok 4.5. Currently, Gemini has fallen to the 8th or 9th position in the large model rankings. Meanwhile, GCP is selling a large number of TPUs to competitors like Anthropic, having secured long-term leasing and sales contracts for hundreds of thousands of TPUs over the past nine months. The Tokenomics model estimates that Gemini's own ARR is about $12 billion, while GCP's third-party AI cloud service revenue is expected to exceed $73 billion by the end of 2027, with TPU system sales contributing an additional over $120 billion. GCP's latest quarterly growth rate is 82%, and it is expected to accelerate to over 100% by 2027 due to TPU system sales, contributing approximately $3 to Google's earnings per share.

Analysis: The market digests SpaceX's selling pressure, the release of stocks worth hundreds of billions of dollars has landed, but the stock price has not seen a significant drop

According to Bloomberg, SpaceX's stock performed relatively steadily on Thursday, following the expiration of a lock-up agreement that restricted insiders from selling shares, involving the release of approximately 911.5 million shares, valued at about $100 billion based on current estimates.Trading data shows that SpaceX's stock price fluctuated within a range of less than 3% in the early morning, as the market digested the potential selling pressure from this large-scale share release. In the first 30 minutes after the market opened, the trading volume approached 93 million shares, accounting for about 40% of the total trading volume from the previous trading day.This release occurred shortly after SpaceX's first financial report was published. Previously, due to concerns from investors about the company's investment in artificial intelligence being higher than expected, SpaceX's stock price had dropped by about 14%. However, most Wall Street analysts still maintain a long-term optimistic view of the company.The market's focus includes SpaceX's future investment plans in AI, satellite internet, and mobile communications. Although facing short-term capital expenditure pressures, analysts believe that the company's leading position in rocket launches, the Starlink satellite network, and the commercial space sector remains an important factor supporting its long-term valuation.This stock release, valued at approximately $100 billion, has also become an important event for the market to test investor confidence after SpaceX's listing. The stock price did not experience significant fluctuations, indicating that the market had certain expectations regarding the liquidity release for internal shareholders.

Analysis: The average time from Tether's freeze proposal to execution exceeds 2 hours, allowing high-risk addresses to transfer funds by taking advantage of the time difference

FlashRescue co-founder @DarcyAri posted on the X platform that recently, during a joint investigation with partners on a case, Tether experienced a transfer of funds from one address during the execution of a proposal to freeze addresses, resulting in a decrease in the frozen amount. Further review by FlashRescue revealed that this is not an isolated incident. As of August 3, 2026, through an analysis of 2,955 Tether freeze events on the Ethereum and Tron networks, it was found that among addresses involved in risks such as entity sanctions, fraudulent activities, money laundering, FATF blacklist jurisdictions, and malicious attacks: 60 addresses cleared their assets and completed front-running transfers before the formal execution of the freeze, with a total net outflow of 20,429,847 USDT, starting transfers an average of 13 minutes and 59 seconds after the freeze proposal was submitted, and completing the main fund transfers within 15 minutes and 15 seconds; additionally, 113 addresses transferred some assets before the freeze was executed, involving approximately 35,524,300 USDT.The average time from the submission of the freeze proposal to the formal execution of the freeze by Tether is 2 hours, 16 minutes, and 15 seconds, indicating a long time window between the public announcement of the freeze proposal and its actual execution. On July 3, a cluster of addresses transferred funds continuously within minutes and then split the transfers to the same address. The above cases suggest that some high-risk addresses may be actively monitoring Tether freeze proposals and utilizing the time difference between the public announcement of the proposal and the actual effectiveness of the freeze to implement front-running transfers. This mechanism leads to the failure of freezing the involved funds and undermines the actual effectiveness of sanctions, anti-money laundering, and law enforcement cooperation measures.
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